# langchain-ai/langgraph SLOC report

> langchain-ai/langgraph: 81,770 code lines at commit 3cd57c038ad8, counted with tokei-14.0.0 on 2026-10-22. Saved result 2f39de50e2580b0bdd0f2e7452904d610e84385b651854d6875a1e62997953ce.

langchain-ai/langgraph has 81,770 source lines of code out of 96,601 total lines across 379 files, counted from the main ref at commit 3cd57c038ad8 by the OctoCounts tokei engine on 2026-10-22. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving langchain-ai/langgraph to commit 3cd57c038ad8, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a medium-sized codebase by counted code lines. Code represents 84.6% of all lines, comments represent 5.0%, and the repository averages 216 code lines per file. Python accounts for 90.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 259 | 85,875 | 74,297 | 3,049 | 8,529 |
| JSON | 24 | 3,070 | 3,068 | 0 | 2 |
| Jupyter Notebooks | 35 | 4,693 | 2,961 | 829 | 903 |
| TOML | 20 | 1,024 | 886 | 28 | 110 |
| Makefile | 10 | 555 | 379 | 65 | 111 |
| TypeScript | 5 | 231 | 81 | 137 | 13 |
| YAML | 1 | 99 | 68 | 23 | 8 |
| JavaScript | 1 | 18 | 18 | 0 | 0 |
| Dockerfile | 1 | 45 | 12 | 29 | 4 |
| Markdown | 16 | 981 | 0 | 626 | 355 |
| Plain Text | 7 | 10 | 0 | 10 | 0 |

Top language (Python 90.9%). Generated at 2026-10-22T06:15:36.103699727Z. Canonical report: https://octocounts.com/github/langchain-ai/langgraph/commit/3cd57c038ad827d05f80c6488adea9994156c58c?reportId=2f39de50e2580b0bdd0f2e7452904d610e84385b651854d6875a1e62997953ce&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/langchain-ai/langgraph/commit/3cd57c038ad827d05f80c6488adea9994156c58c?reportId=2f39de50e2580b0bdd0f2e7452904d610e84385b651854d6875a1e62997953ce&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does langchain-ai/langgraph have?

langchain-ai/langgraph has 96,601 total lines, including 81,770 code lines, 4,796 comment lines, and 10,035 blank lines.

### How was the langchain-ai/langgraph line count measured?

OctoCounts resolved the public GitHub repository to commit 3cd57c038ad8, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for langchain-ai/langgraph?

This OctoCounts report was generated from main at commit 3cd57c038ad8 on 2026-10-22T06:15:36.103699727Z.

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